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Cross-validation
Results: 663

#	Item
381	APPLIED PHYSICS LETTERS 97, 133703 共2010兲 Cross-validation of microfabricated atomic magnetometers with superconducting quantum interference devices for biomagnetic applications Svenja Knappe,1,a兲 Tilmann H. Sande Add to Reading List Source URL: tf.boulder.nist.gov Language: English - Date: 2010-11-03 17:19:35 Magnetism Magnetometers Sensors Superconductivity SQUID Magnetic nanoparticles Néel relaxation theory Magnetic field Electromagnetism Physics Measuring instruments
382	Package ‘KsPlot’ July 2, 2014 Type Package Title Check the power of seveal statistical models. Version 1.3 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 09:57:46 Cross-validation Machine learning Model selection Logistic regression Linear regression Artificial neuron Statistics Regression analysis Econometrics
383	Package ‘autopls’ July 2, 2014 Version[removed]Date[removed]Title pls regression with backward selection of predictors Author Sebastian Schmidtlein, with contributions from Carsten Oldenburg and Hannes Feilhauer Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:17:24 Regression model validation Partial least squares regression Resampling Linear regression Model selection Statistics Regression analysis Cross-validation
384	© 2007 Nature Publishing Group http://www.nature.com/natureneuroscience CO R R E S P ON D E N C E an independent cross-validation analysis (see Supplementary Note 3). Using the non-independent analysis Add to Reading List Source URL: lbcnimh.nih.gov Language: English - Date: 2011-04-14 13:31:54 Neuroimaging Magnetic resonance imaging 3D computer graphics Science 3D imaging Functional magnetic resonance imaging Binding selectivity Fusiform face area Voxel Cognitive science Neuroscience Imaging
385	partDSA: Deletion/Substitution/Addition Algorithm for Partitioning the Covariate Space in Prediction Annette M. Molinaro Stephen Weston Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 15:58:15 Combinatorics Econometrics Data mining Cross-validation Model selection Partition of a set Disk partitioning Partition Regression analysis Mathematics Statistics Machine learning
386	Second order statistics for the analysis of textural properties of coronal holes and lament channels in SDO/HMI and SDO/AIA 193Å images M. Reiss1 , S.J. Hofmeister1 , M. Temmer1 , A.M. Veronig1 , R. De Visscher2 , V.De Add to Reading List Source URL: www.stce.be Language: English - Date: 2014-08-21 18:01:04 Co-occurrence matrix Cross-validation Image processing Statistics Machine learning
387	Ecological Modelling[removed]–90 Support vector machines for predicting distribution of Sudden Oak Death in California Qinghua Guoa,∗ , Maggi Kellya,1 , Catherine H. Grahamb,c a Add to Reading List Source URL: www.suddenoakdeath.org Language: English - Date: 2010-12-20 17:16:44 Regression analysis Machine learning Sudden oak death Species distribution Cross-validation Logistic regression Statistics Statistical classification Support vector machine
388	IBM Research TRECVID-2008 Video Retrieval System Apostol Natsev∗, Wei Jiang†, Michele Merler†, John R. Smith∗, Jelena Teˇsi´c∗, Lexing Xie∗, Rong Yan∗ Abstract In this paper, we describe the IBM Research Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:53:54 Artificial intelligence Support vector machine Supervised learning Cross-validation Concept learning Active learning Machine learning Statistics Learning
389	Mobile Source Observation Database (MSODD) (EPA420-B[removed]) Add to Reading List Source URL: www.epa.gov Language: English - Date: 2012-09-12 12:06:51 Database management systems Relational database management systems Database theory Cross-platform software Database Data model SQL Microsoft Access Data validation Data management Computing Software
390	TokyoTech’s TRECVID2006 Notebook Taichi Nakamura, Yuichi Miyamura, Koichi Shinoda and Sadaoki Furui Department of Computer Science, Tokyo Institute of Technology[removed]Ookayama, Meguro-ku, Tokyo[removed]Japan {nakamu Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2006-12-07 11:18:26 Imaging Vision Shot transition detection Feature Support vector machine Hessian affine region detector Harris affine region detector Cross-validation Computer vision Image processing Statistics

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